Complex systems is a new approach to science that studies how relationships between parts give rise to the collective behaviors of a system and how the system interacts and forms relationships with its environment.The equations from which complex system models are developed generally derive from statistical physics, information theory and non-linear dynamics, and represent organized but unpredictable behaviors of systems of nature that are considered fundamentally complex. The physical manifestations of such systems cannot be defined, so the usual choice is to refer to “the system” as the mathematical information model, without referring to the undefined physical subject the model represents

Stress and the neuroendocrine system: the role of exercise as a stressor and modifier of stress. Anthony C Hackney. Expert Rev Endocrinol Metab. 2006 November 1; 1(6): 783–792. doi: 10.1586/17446651.1.6.783 LINK

A linear system is a mathematical model of a system based on the use of a linear operator. Linear systems typically exhibit features and properties that are much simpler than the general, nonlinear case.

For over two thousand years, the adjective “Euclidean” was unnecessary because no other sort of geometry had been conceived. Euclid’s axioms seemed so intuitively obvious (with the possible exception of the parallel postulate) that any theorem proved from them was deemed true in an absolute, often metaphysical, sense. Today, however, many other self-consistent non-Euclidean geometries are known, the first ones having been discovered in the early 19th century. An implication of Einstein’s theory of general relativity is that physical space itself is not Euclidean, and Euclidean space is a good approximation for it only where the gravitational field is weak.

In mathematics, a nonlinear system is one that does not satisfy the superposition principle, or one whose output is not directly proportional to its input; a linear system fulfills these conditions. In other words, a nonlinear system is any problem where the equation(s) to be solved cannot be written as a linear combination of the unknown variables or functions that appear in it (them). It does not matter if nonlinear known functions appear in the equations; in particular, a differential equation is linear if it is linear in the unknown function and its derivatives, even if non linear known functions appear as coefficients.

Nonlinear problems are ubiquitous in nature yet there are no general principles to guide our understanding of observed complex behaviour. However, modern developments in nonlinear dynamics coupled with scaling and universality arguments have helped us make progress with problems ranging in scale from the quantum to the astrophysical. The topics covered in these strongly nonlinear phenomena range from solitons and vortices in optics, networks and disease propagation in biology, to turbulence and pattern formation in classical physics. Complexity is concerned with the central nature of change and evolution and places emphasis on the role of fluctuations and noise in self-organisation. In many of these areas, progress is most often made using an interdisciplinary approach often coupling experiment with theory. Drawing connections between many of these areas has its roots in statistical physics and critical phenomena and the approach is now finding application in emerging areas such as soft matter, complexity, biophysics.and indeed evolutionary biology and related fields.

Fuzzy logic is a form of many-valued logic or probabilistic logic; it deals with reasoning that is approximate rather than fixed and exact. Compared to traditional binary sets (where variables may take on true or false values) fuzzy logic variables may have a truth value that ranges in degree between 0 and 1.

A false dilemma (also called the fallacy of the false alternative, false dichotomy, the either-or fallacy, fallacy of the excluded middle, fallacy of false choice, black-and/or-white thinking, or the fallacy of exhaustive hypotheses) is a type of informal fallacy that involves a situation in which limited alternatives are considered, when in fact there is at least one additional option. The options may be a position that is between two extremes (such as when there are shades of grey) or may be completely different alternatives. The opposite of this fallacy is argument to moderation.

Systems thinking is the process of understanding how things, regarded as systems, influence one another within a whole. In nature, systems thinking examples include ecosystems in which various elements such as air, water, movement, plants, and animals work together to survive or perish. In organizations, systems consist of people, structures, and processes that work together to make an organization “healthy” or “unhealthy”. Systems thinking has been defined as an approach to problem solving, by viewing “problems” as parts of an overall system, rather than reacting to specific part, outcomes or events and potentially contributing to further development of unintended consequences. Systems thinking is not one thing but a set of habits or practices[2] within a framework that is based on the belief that the component parts of a system can best be understood in the context of relationships with each other and with other systems, rather than in isolation. Systems thinking focuses on cyclical rather than linear cause and effect.

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Food Paradigm Shift

The Meal Matters Most is about how food impacts our ability to handle stress. The classic approach of nutrition establishments is about needing individual nutrients and "getting rid" of anything that can be unhealthy. They get rid of fat, sugar and salt. An ecosystem stress view is based rather on the interaction of foods within the meal and the interaction with our bodies. What makes healthy food healthy depends on the context and the system. This is the way traditional foods and cultures evolved with and created menus and meals. Which is why the Meal Matters Most. It's all about the interaction of flavors. Combinations that made food delicious also makes food healthy. The foods work synergistically together to abate stress. Stress from both foods themselves (breakdown and byproducts) and the stress we experience in our daily lives. Stress is about appropriate challenge, appropriate resources and appropriate recovery so we can be challenged again. Stress is about getting what we need and being able to constantly grow from our interactions and environment.

Disclaimer

This site is for informational purposes only. This site is a personal interpretation of the evidence all final interpretation should be that "more study is needed". Nothing on this site is meant as medical advice. Links and citations do not confer or represent endorsement of either party. Consult with your physician or health professional.